This notebook displays visualizations for subsequent runs of a LDA training on the same corpus of data.
from IPython.core.display import display, HTML
import ktm_prepviz, pyLDAvis
vis = ktm_prepviz.prepviz("topic_number")
display(HTML("<h1>20 topics</h1>"))
pyLDAvis.display(vis[0])
display(HTML("<h1>40 topics</h1>"))
pyLDAvis.display(vis[1])
display(HTML("<h1>60 topics</h1>"))
pyLDAvis.display(vis[2])
display(HTML("<h1>80 topics</h1>"))
pyLDAvis.display(vis[3])
display(HTML("<h1>100 topics</h1>"))
pyLDAvis.display(vis[4])